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(1)

Steven Cole, Robert Moore, Alice Robson,

Paul Mattingley and Vicky Bell

BHS Meeting: Hydrology for Flood Risk Management 21 November 2013

Recent developments in

countrywide flood forecasting

using the G2G distributed

(2)

Summer 2007 floods

£3 billion insurance payouts  55,000 properties flooded,

36,000 from surface water flooding

 National infrastructure impacts

140,000 homes without clean water for 17 days  42,000 homes without power for 24 hours

Pitt Review commissioned

 Flood Forecasting Centre & Scottish Flood Forecasting Service  Countrywide flood forecasting using G2G distributed model

(3)

Lumped catchment model

Distributed Hydrological Modelling (G2G)

Catchment-wide storm

Lower catchment storm

Upper catchment storm

Grid-to-Grid (G2G) Model

• One model for large regions (UK) • Flow estimates in each grid (1km2)

• Realistic response to different storm intensities and extent

Gauging station Benefits Flo w m 3 s -1 G2G Time (days) 30% increase!

(4)

Soil properties (for each HOST class)

Terrain/slope

Steep slopes → Shallow storage

Shallow slopes → Deep storage

Soil Moisture Deficit (modelled) Gridded rainfall G2G Runoff Production Urban/Suburban coverage • Increase runoff (by

decreasing soil depth)

(5)

Raingauge-adjusted radar rainfall (HyradK)

G2G national application for FFC & SFFS

Price et al.; Cranston and Tavendale, Proc. ICE – Water Management (2012)

River flow Soil moisture

G2G runs 24/7 within FEWS across England, Wales & Scotland

Operates at a 15 minute time-step on a 1km grid, out to 5 days

Forecasts river flow, surface runoff and soil moisture

(6)

Flood Guidance Statement (FGS)

•G2G forecasts inform Flood Guidance Statement

•Daily flood risk assessment for emergency responders (10:30) •Updated during events

•Information presented at county level out to 5 days

m3s-1

Normal 2 year flood

More extreme

1km maps

G2G flow outputs converted to flood return periods using

(7)

G2G for Scotland

Cranston and Tavendale, Proc. ICE – Water Management (2012)

•Recent improvement in local forecasting model coverage

•BUT still large areas of Scotland

without a flood forecasting capability

•Flood Risk Management (Scotland) Act 2009

•Created joint Met Office and SEPA

Scottish Flood Forecasting Service

•G2G applied to give first national

picture of flood risk

(8)

G2G for Scotland – Snowmelt modelling

Model Performance

(R2)

(9)

G2G for Scotland – Snowmelt modelling

No Snowmelt With Snowmelt Model Performance (R2) Major improvement in model performance

(10)

G2G for Rapid Response Catchments

Area <100km2

All stations

R2 Efficiency

• Explore use of G2G for Rapid Response Catchments

• typically small area (<100km2) & ungauged

• need to develop forecast/warning capability

• Value of radar/NWP rainfall forecast ensembles? • Case study experience & methods of display

G2G simulation (Jan – Apr 2008)

(11)

G2G for Rapid Response Catchments

• Analysis of G2G forecasts using:

• Raingauge data as foreknowledge of forecast rainfall data • UKV deterministic NWP as forecast rainfall data

• Suggests spatial biases over 2010/11 assessment period

August 2010 – July 2011 Large circles denote NWP

based forecast worse than

(12)

• Post-processing scheme to generate large rainfall ensembles cheaply • Seamless combination of nowcast and deterministic NWP forecast • Noise used to generate ensembles and downscale NWP

• 12 members (now 24), 15 minute accumulations,

7h Nowcast every 15 mins, 24h Blended ensemble every 6h

Forecast time origin

Q(T) return period threshold used

Circles denote gauging stations Solid outline: area <50km2

Observed flow exceeds threshold during forecast

Percentage of ensembles that exceeded the Q(T) threshold at some point during forecast

0 0-33% 34-66% >67%

(13)

Case study: 6-7 July 2012

Slow moving depression over

south-west England

>100mm recorded in 18hr

ending 12:00 7 July 2012

River Axe

severely affected, and south Cornish coast

(14)

Threshold

Forecast

Origin

Q

med

/2 Q

med

Q(5) Q(50)

Case study: 6-7 July 2012

06-07-2012 07:15

(15)

Threshold

Forecast

Origin

Q

med

/2 Q

med

Q(5) Q(50)

Case study: 6-7 July 2012

06-07-2012 07:15 06-07-2012 19:15 07-07-2012 00:15 07-07-2012 07:15

(16)

Threshold

Forecast

Origin

Q

med

/2 Q

med

Q(5) Q(50)

Case study: 6-7 July 2012

06-07-2012 07:15 06-07-2012 19:15 07-07-2012 00:15 07-07-2012 07:15 Early signal of flood risk “hotspots”

(17)

Case study: 6-7 July 2012

Yealm at Puslinch (55km2) Axe at Chard Junction (85km2)

07-07-2012 00:15

07-07-2012 07:15

Strong signal at least 12 hours before

06-07-2012 19:15 06-07-2012 07:15

(18)

Extreme Rainfall Alerts (ERA)

National rainfall-threshold based method Based on FEH 30 year return period

rainfalls “averaged” across 8 UK cities

G2G runoff production

affected by:

Rainfall amount plus

Urban/suburban coverage Soil and geology properties

Antecedent soil moisture conditions

Prototype runoff threshold

exceedances seem more targeted

1h radar rainfall totals >30mm >25mm 1h runoff totals >8.5mm >7mm

G2G alerts for surface water flooding

(19)

Real-time SWF impact modelling approach

Hazard

Footprint

Based on G2G surface runoff

Hazard

Impact

Maps

Exposure

e.g. Property, Population, Infrastructure National Receptor Dataset (EA) National Population Database (HSL) Updated Flood

Map for Surface Water (EA)

Natural Hazards Partnership (NHP)

(20)

1500 1600 1500

Population

G2G Hazard footprint

1600 1700 1700

SWF Population impacts

Vulnerable Pop.

Key High Hazard Hazard Key High Hazard Population Count 4,900 (MAX) 1 Key Hazard Population Count 18,000 (MAX) 1 1500 1600 1700 High Hazard Vulnerable Pop Count

1,150 (MAX) 1

Key

Hazard

Vulnerable Pop count 3,000 (MAX) 1

Hazard impact

maps

(21)

Closing remarks

Step change in flood forecasting capability across Britain

 G2G provides fluvial forecasts “everywhere” on a 1km grid

 Probabilistic forecasts over several days possible

G2G has shown utility for Rapid Response Catchments

 Uses high-res deterministic and probabilistic rainfall products  Case studies shows potential for early warning (possibly 12h+)

Real-time mapping of surface water flooding impacts

Aim to move from static to dynamic maps of hazard and impact  Presentation of results, local, regional and national (with HSL)

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